GATE DA - 2027 (Self Paced - 2 years)

The GATE (Graduate Aptitude Test in Engineering) Data Science and Artificial Intelligence course covers a comprehensive range of subjects that are crucial for understanding and excelling in the field. The syllabus is designed to assess candidates' knowledge in various areas related to data science, artificial intelligence, and related fields.

Key Features:

1. 300+ Hours of Content.
2. Latest GATE Videos Access. 
3. Practice Questions.
4. Test Series. (Test Series will be available from June 30th)
5. Doubt Clearing Sessions.

Instructors

Prof. Ravindrababu Ravula is a dedicated Teacher with 15+ years of experience and a deep passion for computer science. Students call him RBR Sir and he did his Masters' degree in Computer Science from IISc Bangalore.

Jay Bansal (AIR 2) did his MTech from IIT Bombay (Specialising in deep networks and image processing). Working as an ML Engineer at Google, working on making cool products using state-of-the-art LLMs like Bard and Gemini.

 

Venkatesh E completed his MTech in Artificial Intelligence from IIT Hyderabad. He is currently a Machine Learning Engineer at Qualcomm, where he works on the Qualcomm Cloud AI100 compute accelerator, a leading technology for AI workload inferencing. With a deep interest in Natural Language Processing, Venkatesh has published two notable research papers in prestigious conferences, AAAI-21 and ACL-23, underscoring his contributions to the field.

Syllabus

Probability and Statistics
Linear Algebra
Calculus and Optimization
Programming, Data Structures, and Algorithms
Database Management and Warehousing
Machine Learning
Artificial Intelligence
General Aptitude

 

 

 

For Any Queries:

Email: gate2014.ravindra@gmail.com

 

 

 

Note: No Refund